• DocumentCode
    2189718
  • Title

    Visual inspection and 3D reconstruction based on image-to-mirror planes

  • Author

    Martins, Nuno ; Dias, Jorge

  • Author_Institution
    Dept. de Eng. Inf. e de Sistemas, Inst. Superior de Engenharia de Coimbra, Portugal
  • Volume
    2
  • fYear
    2000
  • fDate
    19-22 Jan. 2000
  • Firstpage
    329
  • Abstract
    This article addresses the problem of recovering a tridimensional scene from only one uncalibrated static camera and images from planar mirrors. We present a linear solution for 3D Euclidean reconstruction based on multiocular geometry, epipolar geometry and projective geometric properties. From the recovered points of the scene we can obtain information related with distances, areas, curvatures, dimensions and even volumes of its objects. A system based on this technique could be applied on the industry, in tasks of great importance, such as the quality tests and metrology inspection. The system is simple, low cost and could achieve good performance.
  • Keywords
    automatic optical inspection; image reconstruction; mirrors; 3D Euclidean reconstruction; 3D reconstruction; epipolar geometry; image-to-mirror planes; metrology inspection; multiocular geometry; projective geometric properties; quality tests; tridimensional scene; uncalibrated static camera; visual inspection; Cameras; Computational geometry; Ear; Image reconstruction; Inspection; Layout; Metrology; Mirrors; Robot vision systems; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology 2000. Proceedings of IEEE International Conference on
  • Print_ISBN
    0-7803-5812-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2000.854175
  • Filename
    854175